code: def _get_carrays_eval_lambda(self, types, ndim):
      ret = [
          self._get_carray_eval_lambda(dtype, ndim)
          for dtype, ndim in zip(types, ndim)
      ]
      ret += [
          njit(eval(("lambda x, y: None")))
          for i in range(6 - len(types))
      ]
      return tuple(ret)
  
imports: from distutils.version import LooseVersion
  from nvidia.dali import backend
  from nvidia.dali.pipeline import Pipeline
  from nvidia.dali.data_node import DataNode
  from nvidia.dali import ops
  from nvidia.dali import types
  from numba import types
  from numba import njit, cfunc, carray, cuda
  import numpy
  import numba
label_desc: Use image node_id 8 for calling the NumbaFunction obj's underlying member method code with example usage: obj._get_carrays_eval_lambda(types, ndim) and returns: tuple